Between-subjects statistics

Between-subjects statistics are used to compare independent groups on an outcome

Between-subjects statistics are used to compare independent groups on an outcome variable. The groups are independent because participants can only be in one group. This is also known as the statistical assumption of Independence of Observations (IOO), where each participant is only counted once. Between-subjects statistics require some sort of independent group variable (or categorical variable) and an outcome measured at either a categorical, ordinal, or continuous level. The choice of between-subjects statistics depends upon two specific questions.

1. How many independent groups are being compared on an outcome in the between-subjects analysis?

2. What is the scale of measurement of the outcome in the between-subjects analysis?

When asking research questions and answering them with between-subjects statistics, researchers are asking how many independent groups (or levels of a categorical variable) are being compared on the outcome?

How many independent groups are being compared on an outcome in the between-subjects analysis?

Statistician Services for Students

NEED TO HIRE A STATISTICIAN?Eric Heidel, Ph.D.will provide the following services for undergraduate and graduate students at $50/hour. Secure checkout is available with Stripe or PayPal.

Statistical Analysis

Research Design

Sample Size Calculations

Diagnostic Testing and Epidemiological Calculations

Survey Design and Psychometrics

AppNotch: Convert this website into an Android and iOS app.

AppNotch team will notify you when your app gets approved in Google Play and Apple iTunes App Stores. Once your app goes live,
enter your App Store URLs in this property window, publish your Weebly site and your app store icons will be visible in this page.